/**
 * This program is free software, you can redistribute it and/or modify.
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This file is a part of the CANN Open Software.
 * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#include <iostream>
#include <vector>
#include "acl/acl.h"
#include "aclnnop/aclnn_expand_into_jagged_permute.h"

#define CHECK_RET(cond, return_expr) \
    do {                             \
        if (!(cond)) {               \
            return_expr;             \
        }                            \
    } while (0)

#define LOG_PRINT(message, ...)         \
    do {                                \
        printf(message, ##__VA_ARGS__); \
    } while (0)

int64_t GetShapeSize(const std::vector<int64_t>& shape)
{
    int64_t shapeSize = 1;
    for (auto i : shape) {
        shapeSize *= i;
    }
    return shapeSize;
}

int Init(int32_t deviceId, aclrtStream* stream)
{
    // 固定写法，AscendCL初始化
    auto ret = aclInit(nullptr);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclInit failed. ERROR: %d\n", ret); return ret);
    ret = aclrtSetDevice(deviceId);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSetDevice failed. ERROR: %d\n", ret); return ret);
    ret = aclrtCreateStream(stream);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtCreateStream failed. ERROR: %d\n", ret); return ret);
    return 0;
}

template <typename T>
int CreateAclTensor(const std::vector<T>& hostData, const std::vector<int64_t>& shape, void** deviceAddr,
                    aclDataType dataType, aclTensor** tensor)
{
    auto size = GetShapeSize(shape) * sizeof(T);
    // 调用aclrtMalloc申请device侧内存
    auto ret = aclrtMalloc(deviceAddr, size, ACL_MEM_MALLOC_HUGE_FIRST);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMalloc failed. ERROR: %d\n", ret); return ret);
    // 调用aclrtMemcpy将host侧数据拷贝到device侧内存上
    ret = aclrtMemcpy(*deviceAddr, size, hostData.data(), size, ACL_MEMCPY_HOST_TO_DEVICE);
    CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtMemcpy failed. ERROR: %d\n", ret); return ret);

    // 计算连续tensor的strides
    std::vector<int64_t> strides(shape.size(), 1);
    for (int64_t i = shape.size() - 2; i >= 0; i--) {
        strides[i] = shape[i + 1] * strides[i + 1];
    }

    // 调用aclCreateTensor接口创建aclTensor
    *tensor = aclCreateTensor(shape.data(), shape.size(), dataType, strides.data(), 0, aclFormat::ACL_FORMAT_ND,
                              shape.data(), shape.size(), *deviceAddr);
    return 0;
}

int main() {
  // 1. （固定写法）device/stream初始化, 参考AscendCL对外接口列表
  // 根据自己的实际device填写deviceId
  int32_t deviceId = 0;
  aclrtStream stream;
  auto ret = Init(deviceId, &stream);
  CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret);
            return ret);

  // 2. 构造输入与输出, 需要根据API的接口自定义构造
  std::vector<int64_t> permuteShape = {3};
  std::vector<int64_t>inputOffsetsShape = {4};
  std::vector<int64_t> outputOffsetsShape = {4};
  std::vector<int64_t> outputPermuteShape= {6};
  void* permuteDeviceAddr = nullptr;
  void* inputOffsetsDeviceAddr = nullptr;
  void* outputOffsetsDeviceAddr = nullptr;
  void* outputPermuteDeviceAddr = nullptr;

  aclTensor* permute = nullptr;
  aclTensor* inputOffsets = nullptr;
  aclTensor* outputOffsets = nullptr;
  aclTensor* outputPermute = nullptr;
  int64_t outputSize = 6;


  std::vector<int> permuteHostData = {1, 0, 2};
  std::vector<int> inputOffsetsHostData = {0, 3, 5, 8};
  std::vector<int>outputOffsetsHostData = {0, 2, 4, 6};
  std::vector<int> outputPermuteHostData = {3, 4, 0, 1, 5, 6};

  ret = CreateAclTensor(permuteHostData, permuteShape,
                        &permuteDeviceAddr, aclDataType::ACL_INT32,
                        &permute);
  CHECK_RET(ret == ACL_SUCCESS, return ret);
  ret = CreateAclTensor(inputOffsetsHostData, inputOffsetsShape, &inputOffsetsDeviceAddr,
                      aclDataType::ACL_INT32, &inputOffsets);
  CHECK_RET(ret == ACL_SUCCESS, return ret);
  ret = CreateAclTensor(outputOffsetsHostData, outputOffsetsShape, &outputOffsetsDeviceAddr,
                      aclDataType::ACL_INT32, &outputOffsets);
  CHECK_RET(ret == ACL_SUCCESS, return ret);

  ret = CreateAclTensor(outputPermuteHostData , outputPermuteShape , &outputPermuteDeviceAddr,
                      aclDataType::ACL_INT32, &outputPermute );
  CHECK_RET(ret == ACL_SUCCESS, return ret);

  // 3. 调用CANN算子库API, 需要修改为具体的Api名称
  uint64_t workspaceSize = 0;
  aclOpExecutor *executor;

  // 调用aclnnExpandIntoJaggedPermute第一段接口
  ret = aclnnExpandIntoJaggedPermuteGetWorkspaceSize(permute, inputOffsets, outputOffsets, outputSize,
                                               outputPermute, &workspaceSize, &executor);
  CHECK_RET(
      ret == ACL_SUCCESS,
      LOG_PRINT("aclnnExpandIntoJaggedPermuteGetWorkspaceSize failed. ERROR: %d\n", ret);
      return ret);

  // 根据第一段接口计算出的workspaceSize申请device内存
  void *workspaceAddr = nullptr;
  if (workspaceSize > 0) {
    ret = aclrtMalloc(&workspaceAddr, workspaceSize, ACL_MEM_MALLOC_HUGE_FIRST);
    CHECK_RET(ret == ACL_SUCCESS,
              LOG_PRINT("allocate workspace failed. ERROR: %d\n", ret);
              return ret);
  }

  // 调用aclnnExpandIntoJaggedPermute第二段接口
  ret = aclnnExpandIntoJaggedPermute(workspaceAddr, workspaceSize, executor, stream);
  CHECK_RET(ret == ACL_SUCCESS,
            LOG_PRINT("aclnnExpandIntoJaggedPermute failed. ERROR: %d\n", ret);
            return ret);

  // 4. （固定写法）同步等待任务执行结束
  ret = aclrtSynchronizeStream(stream);
  CHECK_RET(ret == ACL_SUCCESS,
            LOG_PRINT("aclrtSynchronizeStream failed. ERROR: %d\n", ret);
            return ret);

  // 5.获取输出的值,将device侧内存上的结果拷贝至host侧,需要根据具体API的接口定义修改
  auto size = GetShapeSize(outputPermuteShape);
  std::vector<float> resultData(size, 0);
  ret = aclrtMemcpy(resultData.data(), resultData.size() * sizeof(resultData[0]), outputPermuteDeviceAddr,
                    size * sizeof(resultData[0]), ACL_MEMCPY_DEVICE_TO_HOST);
  CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("copy result from device to host failed. ERROR: %d\n", ret); return ret);
  for (int64_t i = 0; i < size; i++) {
    LOG_PRINT("result[%ld] is: %f\n", i, resultData[i]);
  }

  // 6. 释放aclTensor和aclScalar,需要根据具体API的接口定义修改
  aclDestroyTensor(permute);
  aclDestroyTensor(inputOffsets);
  aclDestroyTensor(outputOffsets);
  aclDestroyTensor(outputPermute);

  // 7. 释放device资源
  aclrtFree(permuteDeviceAddr);
  aclrtFree(inputOffsetsDeviceAddr);
  aclrtFree(outputOffsetsDeviceAddr);
  aclrtFree(outputPermuteDeviceAddr);

  if (workspaceSize > 0) {
    aclrtFree(workspaceAddr);
  }
  aclrtDestroyStream(stream);
  aclrtResetDevice(deviceId);
  aclFinalize();

  return 0;
}